hi me again, is there any other forum i can ask about turning off that adaptive modifier? i mean people who deal with config parameters etc
2015-01-09 0:37 GMT+02:00 Gokcer Gunes <[email protected]>: > Okay understand ,thanks for great help and have a nice day:) > > 2015-01-09 0:21 GMT+02:00 Allistair C <[email protected]>: > >> No they best you could do is look at one of the many config params to see >> if you can influence the engine, e.g disable adaptive classifier (not sure >> if that's possible or even beneficial) but whatever is causing your issue >> might be targetable via config but the config is not very well documented . >> If you wanted to feed line by line you would need to do that outside of >> tesseract and may be easier than the config method. >> >> Sent from my iPhone >> >> On 8 Jan 2015, at 22:16, Gokcer Gunes <[email protected]> wrote: >> >> So not possible with tesseract? >> >> 2015-01-08 18:22 GMT+02:00 Gokcer Gunes <[email protected]>: >> >>> yes i mean yes like any point in space between lines,so i can say say >>> "crop area that between y1 and y2 points".Because i think tesseract able to >>> detect lines ,so i thought i can get mininum bottom point of first line >>> words and top point of 2. line words >>> >>> 2015-01-08 18:09 GMT+02:00 Allistair <[email protected]>: >>> >>>> No problem. Not sure I understand what you mean by detect points - a >>>> point to me is an (x, y) coordinate. Do you mean space? In any case, >>>> Tesseract is not going to do anything like that I think - you will need to >>>> perform image preprocessing to do that using Open CV or something. >>>> >>>> On 8 January 2015 at 16:02, Gokcer Gunes <[email protected]> wrote: >>>> >>>>> And i did threshold too and i got same results with you for this >>>>> inputs ,but for some other inputs threshold causes them to recognize wrong >>>>> such as * recognizing as ' .My images recognizing great for single line >>>>> and >>>>> with 1-2 mistake for multiple lines so i need to solve that.Thanks for >>>>> great response and i will be very happy if you can return me ever got idea >>>>> what causes that problem:).And also a last thing can i detect points >>>>> between lines with tesseract to seperate image into multiple single line >>>>> image? >>>>> >>>>> 2015-01-08 17:56 GMT+02:00 Allistair <[email protected]>: >>>>> >>>>>> :) I hear you, I do. From the input image perspective I looked at the >>>>>> 2 Kaliko words and they match at the pixel level. Some part of >>>>>> Tesseract's >>>>>> internal classification system is falling over a bit here, I cannot tell >>>>>> you why, I can only say that OCR is not a perfect technology. It works on >>>>>> machine learning and classification of probabilities. What seems simple >>>>>> to >>>>>> us is not necessarily so to the OCR engine. It could be that by the time >>>>>> it >>>>>> gets to the 2nd Kaliko it thinks it has improved the 'l' recognition from >>>>>> the previous text to be a '1' - Tesseract has this adaptive classifier - >>>>>> but I am only guessing, maybe others have better ideas. >>>>>> >>>>>> On 8 January 2015 at 15:24, Gokcer Gunes <[email protected]> wrote: >>>>>> >>>>>>> and also why is that? i mean at 3. line there is both KalikoImage >>>>>>> which is same,but first is correctly translated to text and second one >>>>>>> is >>>>>>> with one mistake >>>>>>> >>>>>>> 2015-01-08 17:17 GMT+02:00 Allistair <[email protected]>: >>>>>>> >>>>>>>> It works for me with just the threshold and no scaling (however, >>>>>>>> there is an error in the 2nd Kaliko where the l is misrecognised as a >>>>>>>> 1): >>>>>>>> >>>>>>>> https://dl.dropboxusercontent.com/u/523401/codethres.png >>>>>>>> >>>>>>>> --- >>>>>>>> >>>>>>>> Memorystream memstream = new MemoryStream(); >>>>>>>> >>>>>>>> bitmap.Save(memstream, System.Drawing.Imaging.ImageFormat.Png); >>>>>>>> >>>>>>>> Kalikolmage imgklk = new Ka1ikoImage(memstream); >>>>>>>> >>>>>>>> >>>>>>>> On 8 January 2015 at 14:22, Gokcer Gunes <[email protected]> >>>>>>>> wrote: >>>>>>>> >>>>>>>>> Yeah with more size it works better and better but it takes more >>>>>>>>> time also thats why im only scaling 2x around.And can i ask did you >>>>>>>>> try >>>>>>>>> with only threshold or threshold+scaling >>>>>>>>> >>>>>>>>> 2015-01-08 16:16 GMT+02:00 Allistair <[email protected]>: >>>>>>>>> >>>>>>>>>> Oh, I also scaled the image up to 2000px wide. Larger images >>>>>>>>>> often work better with Tesseract so a pre-filter or sampling up can >>>>>>>>>> help. >>>>>>>>>> >>>>>>>>>> On 8 January 2015 at 14:16, Allistair <[email protected]> >>>>>>>>>> wrote: >>>>>>>>>> >>>>>>>>>>> This is the image I am providing to Tesseract >>>>>>>>>>> >>>>>>>>>>> https://dl.dropboxusercontent.com/u/523401/code.png >>>>>>>>>>> >>>>>>>>>>> It's your image with a quick threshold performed in Photoshop. >>>>>>>>>>> Notice that you need to ensure the threshold makes all text black. >>>>>>>>>>> >>>>>>>>>>> On 8 January 2015 at 13:47, Gokcer Gunes <[email protected]> >>>>>>>>>>> wrote: >>>>>>>>>>> >>>>>>>>>>>> i tried with threshold filters too but i didnt get good >>>>>>>>>>>> results,best result for me was this way.Can i ask what threshould >>>>>>>>>>>> number >>>>>>>>>>>> you used for this images. >>>>>>>>>>>> >>>>>>>>>>>> 2015-01-08 14:30 GMT+02:00 Allistair <[email protected]>: >>>>>>>>>>>> >>>>>>>>>>>>> Well, I must say I am unsure why one image works for that line >>>>>>>>>>>>> and not the other. Clearly the addition of other lines of text is >>>>>>>>>>>>> causing >>>>>>>>>>>>> Tesseract's classification system to go slightly awry - must be >>>>>>>>>>>>> learning >>>>>>>>>>>>> something with the addition of the new text that it feeds back to >>>>>>>>>>>>> the 1st >>>>>>>>>>>>> and gets it wrong. >>>>>>>>>>>>> >>>>>>>>>>>>> However, I was easily able to get a perfect read on both of >>>>>>>>>>>>> them by performing a simple threshold filter (turning all text >>>>>>>>>>>>> dark black) >>>>>>>>>>>>> before providing to Tesseract. >>>>>>>>>>>>> >>>>>>>>>>>>> On 8 January 2015 at 00:01, Gokcer Gunes <[email protected]> >>>>>>>>>>>>> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> First original Image which sended to tesseract >>>>>>>>>>>>>> <temppng.png> >>>>>>>>>>>>>> Second Original Image which sended to tesseract >>>>>>>>>>>>>> >>>>>>>>>>>>>> <temppng.png> >>>>>>>>>>>>>> and outputs are in image which you already saw >>>>>>>>>>>>>> >>>>>>>>>>>>>> 2015-01-08 1:24 GMT+02:00 Gokcer Gunes <[email protected]>: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> yes i will get and upload them asap >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> 2015-01-08 1:24 GMT+02:00 Gokcer Gunes <[email protected]> >>>>>>>>>>>>>>> : >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> ah no its not noise there is no noise in original img it >>>>>>>>>>>>>>>> just result of crop in paint >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> 2015-01-08 1:21 GMT+02:00 Allistair C <[email protected]> >>>>>>>>>>>>>>>> : >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Ah, I see - interesting :) The 2nd example isn't quite the >>>>>>>>>>>>>>>>> same - it seems to have some noise on the left hand edge. >>>>>>>>>>>>>>>>> Also, what PSM >>>>>>>>>>>>>>>>> are you using? Can you send original size images you send to >>>>>>>>>>>>>>>>> Tesseract? >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> On Wednesday, 7 January 2015 23:05:08 UTC, Gokcer Gunes >>>>>>>>>>>>>>>>> wrote: >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> they are input image and output result ,inputs have same >>>>>>>>>>>>>>>>>> first line but in first output M is correctly converted to M >>>>>>>>>>>>>>>>>> but in 2. >>>>>>>>>>>>>>>>>> output M is converted to H >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> 2015-01-08 1:00 GMT+02:00 Allistair <[email protected]>: >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> I see the pictures, yes, but I don't understand the >>>>>>>>>>>>>>>>>>> question. Can you elaborate in detail what the issue is? >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> On 7 January 2015 at 22:48, Gokcer Gunes < >>>>>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> i uploaded them as pictures >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> 2015-01-08 0:29 GMT+02:00 Gokcer Gunes < >>>>>>>>>>>>>>>>>>>> [email protected]>: >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>> yeah resul pictures are in message you cant see them? >>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>> 2015-01-07 23:56 GMT+02:00 Allistair C < >>>>>>>>>>>>>>>>>>>>> [email protected]>: >>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>> Your question is not self-evident, what are you >>>>>>>>>>>>>>>>>>>>>> trying to ask? Can you present your OCR results for each >>>>>>>>>>>>>>>>>>>>>> test you are >>>>>>>>>>>>>>>>>>>>>> conducting? >>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>> On Monday, 5 January 2015 18:16:12 UTC, Gokcer Gunes >>>>>>>>>>>>>>>>>>>>>> wrote: >>>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>>> <https://lh3.googleusercontent.com/-QtKcTsT8fGY/VKrU2Bz4zZI/AAAAAAAAAD4/nCbru06vKac/s1600/testry2.png> >>>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>>> <https://lh6.googleusercontent.com/-FH8hQKrguns/VKrU0KDbMjI/AAAAAAAAADw/OMBj2VRxtyo/s1600/testry1.png> >>>>>>>>>>>>>>>>>>>>>>> Examples is at above,what i am doing wrong? >>>>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>>>>>>> You received this message because you are subscribed >>>>>>>>>>>>>>>>>>>>>> to the Google Groups "tesseract-ocr" group. >>>>>>>>>>>>>>>>>>>>>> To unsubscribe from this group and stop receiving >>>>>>>>>>>>>>>>>>>>>> emails from it, send an email to tesseract-oc...@ 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